Guangyu Robert Yang
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 5%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Molecular Biology
- Co-authors
- Xiao‐Jing WangHui SongMadhura R. JoglekarWilliam T. NewsomeJorge F. MejíasJohn D. MurrayLuis Carlos García del MolinoDavid J. Freedman
- Topics
- Neural dynamics and brain function (16 papers)Advanced Memory and Neural Computing (8 papers)Neural Networks and Applications (7 papers)
- Journals
- CellNature CommunicationsNeuron
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Guangyu Robert Yang
27 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Cognitive Neuroscience 1.1k
- Cellular and Molecular Neuroscience 384
- Artificial Intelligence 296
- Electrical and Electronic Engineering 280
- Molecular Biology 143
Countries citing papers authored by Guangyu Robert Yang
This map shows the geographic impact of Guangyu Robert Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Guangyu Robert Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangyu Robert Yang more than expected).
Fields of papers citing papers by Guangyu Robert Yang
This network shows the impact of papers produced by Guangyu Robert Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Guangyu Robert Yang. The network helps show where Guangyu Robert Yang may publish in the future.
Co-authorship network of co-authors of Guangyu Robert Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Guangyu Robert Yang. A scholar is included among the top collaborators of Guangyu Robert Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guangyu Robert Yang. Guangyu Robert Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 33 | |
| 9 | 24 | |
| 10 | 24 | |
| 11 | Biological key-value memory networks | 2 |
| 12 | 23 | |
| 13 | 194 | |
| 14 | 115 | |
| 15 | 29 | |
| 16 | 58 | |
| 17 | 95 | |
| 18 | 101 | |
| 19 | 146 | |
| 20 | 3 |
About Guangyu Robert Yang
Guangyu Robert Yang is a scholar working on Cognitive Neuroscience, Sensory Systems and Cellular and Molecular Neuroscience, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (16 papers), Advanced Memory and Neural Computing (8 papers) and Neural Networks and Applications (7 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Cellular and Molecular Neuroscience (384 citations) and Biophysics (75 citations). Guangyu Robert Yang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Xiao‐Jing Wang, Hui Song, Madhura R. Joglekar, Hui Song, William T. Newsome, Jorge F. Mejías, John D. Murray, Luis Carlos García del Molino, David J. Freedman and Nicolas Y. Masse. Their work appears in journals such as Cell, Nature Communications and Neuron.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.